| Multilingual and code-switching ASR challenges for low resource Indian languages A Diwan, R Vaideeswaran, S Shah, A Singh, S Raghavan, S Khare, ... arXiv preprint arXiv:2104.00235, 2021 | 84 | 2021 |
| Crowdsourcing speech data for low-resource languages from low-income workers B Abraham, D Goel, D Siddarth, K Bali, M Chopra, M Choudhury, P Joshi, ... Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 44 | 2020 |
| Exploiting Monolingual Speech Corpora for Code-Mixed Speech Recognition. K Taneja, S Guha, P Jyothi, B Abraham Interspeech, 2150-2154, 2019 | 22 | 2019 |
| Improving low resource code-switched ASR using augmented code-switched TTS Y Sharma, B Abraham, K Taneja, P Jyothi arXiv preprint arXiv:2010.05549, 2020 | 17 | 2020 |
| Learning to recognize code-switched speech without forgetting monolingual speech recognition S Shah, B Abraham, S Sitaram, V Joshi arXiv preprint arXiv:2006.00782, 2020 | 16 | 2020 |
| Generalized Distillation Framework for Speaker Normalization. NM Joy, SR Kothinti, S Umesh, B Abraham Interspeech, 739-743, 2017 | 13 | 2017 |
| An automated technique to generate phone-to-articulatory label mapping B Abraham, S Umesh Speech Communication 86, 107-120, 2017 | 10 | 2017 |
| Joint Estimation of Articulatory Features and Acoustic Models for Low-Resource Languages. B Abraham, S Umesh, NM Joy Interspeech, 2153-2157, 2017 | 10 | 2017 |
| Articulatory Feature Extraction Using CTC to Build Articulatory Classifiers Without Forced Frame Alignments for Speech Recognition. B Abraham, S Umesh, NM Joy Interspeech, 798-802, 2016 | 10 | 2016 |
| Articulatory and Stacked Bottleneck Features for Low Resource Speech Recognition. VM Shetty, RA Sharon, B Abraham, T Seeram, A Prakash, N Ravi, ... INTERSPEECH, 3202-3206, 2018 | 9 | 2018 |
| Overcoming Data Sparsity in Acoustic Modeling of Low-Resource Language by Borrowing Data and Model Parameters from High-Resource Languages. B Abraham, S Umesh, NM Joy INTERSPEECH, 3037-3041, 2016 | 7 | 2016 |
| A data-driven phoneme mapping technique using interpolation vectors of phone-cluster adaptive training B Abraham, NM Joy, NKS Umesh 2014 IEEE Spoken Language Technology Workshop (SLT), 36-41, 2014 | 7 | 2014 |
| Learning not to discriminate: task agnostic learning for improving monolingual and code-switched speech recognition GR Madhumani, S Shah, B Abraham, V Joshi, S Sitaram arXiv preprint arXiv:2006.05257, 2020 | 6 | 2020 |
| Transfer Learning and Distillation Techniques to Improve the Acoustic Modeling of Low Resource Languages. B Abraham, T Seeram, S Umesh INTERSPEECH, 2158-2162, 2017 | 6 | 2017 |
| End-to-end ASR for code-switched Hindi-English speech BML Srivastava, B Abraham, S Sitaram, R Mehta, P Jyothi arXiv preprint arXiv:1906.09426, 2019 | 5 | 2019 |
| Cross-lingual acoustic modeling for Indian languages based on Subspace Gaussian Mixture Models NM Joy, B Abraham, K Navneeth, S Umesh 2014 Twentieth National Conference on Communications (NCC), 1-5, 2014 | 5 | 2014 |
| DNNs for Unsupervised Extraction of Pseudo FMLLR Features Without Explicit Adaptation Data. NM Joy, MK Baskar, S Umesh, B Abraham INTERSPEECH, 3479-3483, 2016 | 4 | 2016 |
| Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition G Reddy, S Shah, B Abraham, V Joshi, S Sitaram WSTCSMC 2020, 59, 2020 | 2 | 2020 |
| Improved acoustic modeling of low-resource languages using shared SGMM parameters of high-resource languages NM Joy, B Abraham, K Navneeth, S Umesh 2016 Twenty Second National Conference on Communication (NCC), 1-6, 2016 | 1 | 2016 |
| Gujarati-English Code-Switching Speech Recognition using ensemble prediction of spoken language Y Sharma, B Abraham, P Jyothi arXiv preprint arXiv:2403.08011, 2024 | | 2024 |
